Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea
Papua New Guinea: Gross Output (Agriculture, Forestry and Fishing) — Value Standard was 16,393 million SLC in 2018. ▲ Rising
Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea, 2006–2018
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for gross output (agriculture, forestry and fishing) — value standard in Papua New Guinea is 16,393 million SLC, measured in 2018. That is the highest value across all 13 years on record.
That represents a change of up 1.9% on the previous year and up 28.1% over ten years.
Over the whole period, gross output (agriculture, forestry and fishing) — value standard in Papua New Guinea peaked at 16,393 million SLC in 2018 and was at its lowest, 12,406 million SLC, in 2006.
Papua New Guinea ranks 59th of 106 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 13 years of available data.
Gross Output (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea, year by year
| Year | million SLC | Change |
|---|---|---|
| 2006 | 12,406 million SLC | — |
| 2007 | 12,534 million SLC | +1.0% |
| 2008 | 12,795 million SLC | +2.1% |
| 2009 | 13,255 million SLC | +3.6% |
| 2010 | 13,874 million SLC | +4.7% |
| 2011 | 14,003 million SLC | +0.9% |
| 2012 | 14,528 million SLC | +3.8% |
| 2013 | 14,992 million SLC | +3.2% |
| 2014 | 15,781 million SLC | +5.3% |
| 2015 | 15,018 million SLC | -4.8% |
| 2016 | 15,246 million SLC | +1.5% |
| 2017 | 16,083 million SLC | +5.5% |
| 2018 | 16,393 million SLC | +1.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 12,748 million SLC | 12,406 million SLC | 13,255 million SLC | 4 |
| 2010s | 15,102 million SLC | 13,874 million SLC | 16,393 million SLC | 9 |
Countries ranked near Papua New Guinea
More environment data for Papua New Guinea
- Historical exposure to drought — Land soil moisture anomaly 1.56 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 2.24 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.183 °C (2025)
- Temperature change 0.834 °C (2025)
- Cropland — Area, annual growth rate 0 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0001 1000 ha per person (2024)
- Arable land — Area, annual growth rate 0 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is gross output (agriculture, forestry and fishing) — value standard in Papua New Guinea?
- Gross output (agriculture, forestry and fishing) — value standard in Papua New Guinea was 16,393 million SLC in 2018, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross output (agriculture, forestry and fishing) — value standard recorded in Papua New Guinea?
- The highest recorded value was 16,393 million SLC in 2018.
- What is the lowest gross output (agriculture, forestry and fishing) — value standard recorded in Papua New Guinea?
- The lowest recorded value was 12,406 million SLC in 2006.
- How does Papua New Guinea rank for gross output (agriculture, forestry and fishing) — value standard?
- Papua New Guinea ranks 59th out of 106 countries with data for 2018.
- Is gross output (agriculture, forestry and fishing) — value standard rising or falling in Papua New Guinea?
- Over the last ten years it is up 28.1%. The long-run trend across the full record is rising.
- Where does this Papua New Guinea data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Output (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
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About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).